AWS Data Engineer; Cloud Data Platform & Pipeline Specialist; FTE​/Onsite

Req : 374192

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AWS Data Engineer (Cloud Data Platform & Pipeline Specialist) (FTE / Onsite) to join our team in Atlanta
, Georgia (US-GA),
United States (US).

Please note that we are unable to consider candidates with active CPT, OPT, or OPT EAD status for this specific role.

Location: Atlanta, GA (3 days/week in-office, 2 days remote)

• Design, develop, and maintain scalable cloud-based data pipelines using AWS services such as Glue, EMR, S3, RDS, Data Sync, and DMS
• Build and optimize batch and streaming data orchestration workflows to support enterprise data platforms
• Lead large-scale data migration efforts, including legacy-to-cloud transformations and replication strategies
• Perform data modeling, transformation, and reconciliation to ensure high-quality, consistent datasets across systems
• Implement secure data access patterns following least-privilege principles for pipelines and datasets
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions
• Establish robust data validation, reconciliation, and audit mechanisms to meet regulatory and reporting requirements
• Troubleshoot and optimize performance of ETL/ELT pipelines and data workflows in AWS environments
• Support governance, compliance, and audit readiness for data platforms in regulated environments (finance/reporting)

• 5+ years of experience in data engineering, with strong hands‑on expertise in AWS data services (Glue, EMR, S3, RDS, Data Sync, DMS)
• 5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
• 5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
• 5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
• 5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
• 5+ years of Hands‑on experience with data validation, auditing, and reconciliation processes
• Familiarity with regulatory or finance data environments and reporting workloads
• 5+ years of Strong problem‑solving skills and ability to work in a collaborative, fast‑paced environment

• Experience with real‑time/streaming technologies (e.g., Kafka, Kinesis)
• Exposure to data warehousing platforms (Redshift, Snowflake, etc.)
• Experience with infrastructure‑as‑code (Terraform, Cloud Formation)
• Knowledge of Dev Ops practices and CI/CD for data pipelines
• Prior experience working in regulated industries (Financial Services, Healthcare, etc.)

• Minimal travel required (